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cybernetics

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cybernetics

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thumb|Principle diagram of a cybernetic system with a feedback loop

AI overview

Cybernetics is the study of how systems—whether machines, animals, or organizations—use feedback to control and regulate themselves. It matters because understanding these self-regulating mechanisms helps us design better automated systems and understand how living things adapt to their environments.

AI-generated from the Wikipedia summary — may contain errors.

In the Vinony graph

Vinony's link graph records 1,229 inbound references to cybernetics, and connects out to complex system, W. Ross Ashby and artificial neural network.

Vinony files it under Automation, Cybernetics and Science and technology studies.

Vinony links it to 83 Wikipedia language editions.

Research

9,188 papers

via PubMed

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Cybernetics
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Encyclopedic overview

14 sections
Contents
  • Definitions
  • Etymology
  • History
  • First wave
  • Second wave
  • Third wave
  • Key concepts and theories
  • Related fields and applications
  • Journals and societies
  • See also
  • Notes
  • References
  • Further reading
  • External links

thumb|Principle diagram of a cybernetic system with a feedback loop

Cybernetics is the transdisciplinary study of circular causal processes such as feedback and recursion, where the effects of a system's actions (its outputs) return as inputs to that system, influencing subsequent actions. It is concerned with general principles that are relevant across multiple contexts, including engineering, ecological, economic, biological, cognitive and social systems and also in practical activities such as designing, learning, and managing. Cybernetics' transdisciplinary character means that it intersects with a number of other fields, resulting in a wide influence and diverse interpretations.

Excerpted from Wikipedia’s “cybernetics” article, available under the CC BY-SA 4.0 licence.

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